Papers
PoliToHFI at SemEval-2023 Task 6: Leveraging Entity-Aware and Hierarchical Transformers For Legal Entity Recognition and Court Judgment Prediction
Irene Benedetto, Alkis Koudounas, Lorenzo Vaiani et al.
PoSh at SemEval-2023 Task 10: Explainable Detection of Online Sexism
Shruti Sriram, Padma Pooja Chandran, Shrijith M R
Position Matters! Empirical Study of Order Effect in Knowledge-grounded Dialogue
Hsuan Su, Shachi H. Kumar, Sahisnu Mazumder et al.
Post-Abstention: Towards Reliably Re-Attempting the Abstained Instances in QA
Neeraj Varshney, Chitta Baral
Pragmatic Annotation of Articles Related to Police Brutality
Tess Feyen, Alda Mari, Paul Portner
Pragmatic Inference with a CLIP Listener for Contrastive Captioning
Jiefu Ou, Benno Krojer, Daniel Fried
PragmatiCQA: A Dataset for Pragmatic Question Answering in Conversations
Peng Qi, Nina Du, Christopher Manning et al.
PRAM: An End-to-end Prototype-based Representation Alignment Model for Zero-resource Cross-lingual Named Entity Recognition
Yucheng Huang, Wenqiang Liu, Xianli Zhang et al.
PREADD: Prefix-Adaptive Decoding for Controlled Text Generation
Jonathan Pei, Kevin Yang, Dan Klein
Precise Zero-Shot Dense Retrieval without Relevance Labels
Luyu Gao, Xueguang Ma, Jimmy Lin et al.
PrecogIIITH@WASSA2023: Emotion Detection for Urdu-English Code-mixed Text
Bhaskara Hanuma Vedula, Prashant Kodali, Manish Shrivastava et al.
Predicting Customer Satisfaction with Soft Labels for Ordinal Classification
Etienne Manderscheid, Matthias Lee
Predicting Human Translation Difficulty Using Automatic Word Alignment
Zheng Wei Lim, Trevor Cohn, Charles Kemp et al.
Predicting Numerals in Text Using Nearest Neighbor Language Models
Taku Sakamoto, Akiko Aizawa
Predicting the Quality of Revisions in Argumentative Writing
Zhexiong Liu, Diane Litman, Elaine Wang et al.
Prediction and Calibration: Complex Reasoning over Knowledge Graph with Bi-directional Directed Acyclic Graph Neural Network
Yao Xu, Shizhu He, Li Cai et al.
Prefix Propagation: Parameter-Efficient Tuning for Long Sequences
Jonathan Li, Will Aitken, Rohan Bhambhoria et al.
PreQuant: A Task-agnostic Quantization Approach for Pre-trained Language Models
Zhuocheng Gong, Jiahao Liu, Qifan Wang et al.
Preserving Commonsense Knowledge from Pre-trained Language Models via Causal Inference
Junhao Zheng, Qianli Ma, Shengjie Qiu et al.
Preserving the Authenticity of Handwritten Learner Language: Annotation Guidelines for Creating Transcripts Retaining Orthographic Features
Christian Gold, Ronja Laarmann-quante, Torsten Zesch
Pretrained Bidirectional Distillation for Machine Translation
Yimeng Zhuang, Mei Tu
Pre-Trained Language-Meaning Models for Multilingual Parsing and Generation
Chunliu Wang, Huiyuan Lai, Malvina Nissim et al.
Pre-trained Language Models Can be Fully Zero-Shot Learners
Xuandong Zhao, Siqi Ouyang, Zhiguo Yu et al.
Pre-trained language models in Spanish for health insurance coverage
Claudio Aracena, Nicolás Rodríguez, Victor Rocco et al.
Pre-trained Language Model with Prompts for Temporal Knowledge Graph Completion
Wenjie Xu, Ben Liu, Miao Peng et al.